RAMA – The Robotic Arm Medical Assistant that Reaches for Health

Lead Author Major

Electrical Engineering

Lead Author Status

5th year Senior

Second Author Major

Computer Engineering

Second Author Status

5th year Senior

Third Author Major

Electrical Engineering

Third Author Status

5th year Senior

Fourth Author Major

Electrical Engineering

Fourth Author Status

5th year Senior

Format

SOECS Senior Project Demonstration

Faculty Mentor Name

Cherian Mathews

Faculty Mentor Department

Electrical and Computer Engineering

Additional Faculty Mentor Name

Ken Hughes

Additional Faculty Mentor Department

Electrical and Computer Engineering

Additional Faculty Mentor Name

Fadi Muheidat

Additional Faculty Mentor Department

Electrical and Computer Engineering

Graduate Student Mentor Name

Steve Guerrero

Graduate Student Mentor Department

Electrical and Computer Engineering

Additional Mentors

Jeremy Hanlon - jhanlon@pacific.edu - Technical Support/ Innovation Spaces Coordinator

Mark Foreman - mforeman@pacific.edu - Technical Support/ Technician

Abstract/Artist Statement

There are several instances where a person’s profession may put them in harm’s way. Such an example includes hospital care for patients in quarantine; biochemical threats and other contagious diseases harm not only the patients but also endanger their health providers. For health providers, it is a time-consuming process to put on personal protective equipment when entering isolation rooms, which is also prone to human error. The Robotic Arm Medical Assistant (RAMA) allows nurses to provide care to patients in quarantine without compromising themselves or others while eliminating the need for preparation of protection. RAMA, designated as an artificial healthcare facilitator, is to be deployed into isolation and quarantine zones while being controlled in real-time by a user in a safe location. The user is to wear a control glove, which is supplied with a combination of sensors that will allow RAMA to replicate finger movement and navigate the environment around it through gestures. When a user closes and opens their fingers, RAMA will do the same. Similarly, when a user performs gesturing or tilts their hand left, right, up, and down, RAMA will move in the respective direction. Encrypted data is transmitted from the control glove to the arm wirelessly, providing secure communication during use. We propose an embedded device to ensure hospital safety while providing a low learning curve for use and five degrees of controllable freedom.

Location

School of Engineering & Computer Science

Start Date

5-5-2018 3:30 PM

End Date

5-5-2018 4:30 PM

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May 5th, 3:30 PM May 5th, 4:30 PM

RAMA – The Robotic Arm Medical Assistant that Reaches for Health

School of Engineering & Computer Science

There are several instances where a person’s profession may put them in harm’s way. Such an example includes hospital care for patients in quarantine; biochemical threats and other contagious diseases harm not only the patients but also endanger their health providers. For health providers, it is a time-consuming process to put on personal protective equipment when entering isolation rooms, which is also prone to human error. The Robotic Arm Medical Assistant (RAMA) allows nurses to provide care to patients in quarantine without compromising themselves or others while eliminating the need for preparation of protection. RAMA, designated as an artificial healthcare facilitator, is to be deployed into isolation and quarantine zones while being controlled in real-time by a user in a safe location. The user is to wear a control glove, which is supplied with a combination of sensors that will allow RAMA to replicate finger movement and navigate the environment around it through gestures. When a user closes and opens their fingers, RAMA will do the same. Similarly, when a user performs gesturing or tilts their hand left, right, up, and down, RAMA will move in the respective direction. Encrypted data is transmitted from the control glove to the arm wirelessly, providing secure communication during use. We propose an embedded device to ensure hospital safety while providing a low learning curve for use and five degrees of controllable freedom.